Daohui Zhang

941 total citations · 1 hit paper
34 papers, 640 citations indexed

About

Daohui Zhang is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Daohui Zhang has authored 34 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 13 papers in Cognitive Neuroscience and 7 papers in Control and Systems Engineering. Recurrent topics in Daohui Zhang's work include Muscle activation and electromyography studies (17 papers), EEG and Brain-Computer Interfaces (11 papers) and Soft Robotics and Applications (8 papers). Daohui Zhang is often cited by papers focused on Muscle activation and electromyography studies (17 papers), EEG and Brain-Computer Interfaces (11 papers) and Soft Robotics and Applications (8 papers). Daohui Zhang collaborates with scholars based in China, Canada and Singapore. Daohui Zhang's co-authors include Xingang Zhao, Yiwen Zhao, Dezhen Xiong, Jianda Han, Yaqi Chu, Bi Zhang, Bo Zhu, Anbin Xiong, Xiaoguang Li and Guangjun Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and IEEE Access.

In The Last Decade

Daohui Zhang

29 papers receiving 628 citations

Hit Papers

Deep Learning for EMG-based Human-Machine Interaction: A ... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning for EMG-based Human-Machine Interaction: A Review
    2021 242 citations Dezhen Xiong, Daohui Zhang et al. IEEE/CAA Journal of Automatica Sinica profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daohui Zhang China 13 495 278 161 79 69 34 640
Weichao Guo China 15 615 1.2× 317 1.1× 218 1.4× 37 0.5× 192 2.8× 46 907
Nan Bu Japan 13 418 0.8× 248 0.9× 110 0.7× 20 0.3× 99 1.4× 48 613
Atilla Kilicarslan United States 11 372 0.8× 409 1.5× 59 0.4× 133 1.7× 161 2.3× 24 661
Soo‐Chul Lim South Korea 16 414 0.8× 295 1.1× 169 1.0× 34 0.4× 23 0.3× 39 733
Miguel Simão Portugal 10 333 0.7× 212 0.8× 223 1.4× 31 0.4× 65 0.9× 15 629
Jianhua Shan China 12 254 0.5× 195 0.7× 83 0.5× 22 0.3× 43 0.6× 36 513
Inhyuk Moon South Korea 14 771 1.6× 554 2.0× 308 1.9× 84 1.1× 289 4.2× 40 1.0k
Bojan Milosevic Italy 14 429 0.9× 198 0.7× 141 0.9× 47 0.6× 103 1.5× 28 735
Joel C. Huegel Mexico 12 162 0.3× 128 0.5× 51 0.3× 56 0.7× 29 0.4× 38 417

Countries citing papers authored by Daohui Zhang

Since Specialization
Citations

This map shows the geographic impact of Daohui Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daohui Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daohui Zhang more than expected).

Fields of papers citing papers by Daohui Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daohui Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daohui Zhang. The network helps show where Daohui Zhang may publish in the future.

Co-authorship network of co-authors of Daohui Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Daohui Zhang. A scholar is included among the top collaborators of Daohui Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daohui Zhang. Daohui Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Daohui, Tianzhao Bu, Xin Fu, et al.. (2025). A bioinspired deep-sea iontronic skin for underwater robotic tactile sensing. npj Flexible Electronics. 10(1).
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Zhang, Zhicheng, Jianye Li, Huizhi Chen, et al.. (2025). Scalable Fabrication of Uniform Fast‐Response Humidity Field Sensing Array for Respiration Recognition and Contactless Human‐Machine Interaction. Advanced Functional Materials. 35(41). 17 indexed citations
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Zhang, Daohui, et al.. (2023). A Multidirectional External Perception Soft Actuator Based on Flexible Optical Waveguide for Underwater Teleoperation. SHILAP Revista de lepidopterología. 5(10). 12 indexed citations
7.
Liu, Shaoyu, Daohui Zhang, Xin Fu, et al.. (2023). Tactile Sensing for Soft Robotic Manipulators in 50 MPa Hydrostatic Pressure Environments. SHILAP Revista de lepidopterología. 5(12). 15 indexed citations
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Zhu, Bo, Daohui Zhang, Yaqi Chu, et al.. (2021). Face-Computer Interface (FCI): Intent Recognition Based on Facial Electromyography (fEMG) and Online Human-Computer Interface With Audiovisual Feedback. Frontiers in Neurorobotics. 15. 692562–692562. 12 indexed citations
10.
Han, Fei, et al.. (2021). An Underwater Soft Claw Based on Bionic Principle. 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO). 973–977. 3 indexed citations
11.
Xiong, Dezhen, Daohui Zhang, Xingang Zhao, & Yiwen Zhao. (2021). Deep Learning for EMG-based Human-Machine Interaction: A Review. IEEE/CAA Journal of Automatica Sinica. 8(3). 512–533. 242 indexed citations breakdown →
12.
Zhang, Bi, et al.. (2021). Disturbance compensation-based output feedback adaptive control for shape memory alloy actuator system. International Journal of Advanced Robotic Systems. 18(1). 8 indexed citations
13.
Xiong, Dezhen, Daohui Zhang, Xingang Zhao, Yaqi Chu, & Yiwen Zhao. (2021). Synergy-Based Neural Interface for Human Gait Tracking With Deep Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 2271–2280. 35 indexed citations
14.
Zhang, Daohui, Xingang Zhao, Fengyan Wang, et al.. (2020). A Temporally Smoothed MLP Regression Scheme for Continuous Knee/Ankle Angles Estimation by Using Multi-Channel sEMG. IEEE Access. 8. 47433–47444. 14 indexed citations
15.
Zhang, Daohui, et al.. (2020). A Novel Data-Driven Control Method for Shape Memory Alloy Actuated Robot Joint. 29. 6622–6627. 2 indexed citations
16.
Zhao, Xingang, et al.. (2020). Electrode Shifts Estimation and Adaptive Correction for Improving Robustness of sEMG-Based Recognition. IEEE Journal of Biomedical and Health Informatics. 25(4). 1101–1110. 42 indexed citations
17.
Xiong, Dezhen, Daohui Zhang, Xingang Zhao, & Yiwen Zhao. (2020). Continuous human gait tracking using sEMG signals. PubMed. 2020. 3094–3097. 11 indexed citations
18.
Zhang, Daohui, Xingang Zhao, Jianda Han, Xiaoguang Li, & Bi Zhang. (2019). Active Modeling and Control for Shape Memory Alloy Actuators. IEEE Access. 7. 162549–162558. 27 indexed citations
19.
Zhang, Bi, Xingang Zhao, Daohui Zhang, & Xiaoguang Li. (2017). Modeling of shape memory alloy actuator based on hammerstein model. 509–512. 1 indexed citations
20.
Zhang, Daohui, Xingang Zhao, Jianda Han, & Yiwen Zhao. (2014). A comparative study on PCA and LDA based EMG pattern recognition for anthropomorphic robotic hand. 4850–4855. 40 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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